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Record W4239843942 · doi:10.1055/s-0031-1292584

FAM131B-BRAF Fusion Gene Resulting From 7q34 Deletion Leads to MAPK Pathway Activation in Pilocytic Astrocytoma

2011· article· en· W4239843942 on OpenAlexaff
H Cin, C. Meyer, R Herr, WG Janzarik, S Lambert, DTW Jones, K Jacob, A Benner, H Witt, M Remke, S Bender, F Falkenstein, TN Van Anh, H Olbrich, A von Deimling, A Pekrun, AE Kulozik, A Gnekow, W Scheurlen, O Witt, H Omran, N Jabado, V. Peter Collins, Tilman Brummer, Rolf Marschalek, P Lichter, A Korshunov, SM Pfister

Bibliographic record

VenueKlinische Pädiatrie · 2011
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsPilocytic astrocytomaNeurofibromatosisKRASMedicineGene duplicationCancer researchNeurofibromatosis type ICarcinogenesisAstrocytomaFusion geneMAPK/ERK pathwayGeneMutationPathologyGliomaInternal medicineBiologyGeneticsKinaseCancer

Abstract

fetched live from OpenAlex

Pilocytic astrocytoma (PA) constitutes the most common pediatric brain tumor. Despite the benign clinical behavior reported for PA, patients with tumors arising in inaccessible anatomical locations, show a poorer prognosis and tumor recurrence remains a great clinical challenge. However, there has been a paucity of genetic markers regarding PA tumorigenesis. Recently, we and others have shown that tandem duplication at 7q34, resulting in KIAA1549-BRAF fusion genes and constitutive activation of the MAPK signaling pathway, is a hallmark genetic lesion in PA development. Alternative mechanisms of MAPK activation include BRAF and KRAS point mutations, RAF1 fusions, and Neurofibromatosis-associated NF1 mutations. In order to define the spectrum of underlying genetic driver alterations leading to aberrant MAPK activation, we screened 125 PA from all anatomic sites of the brain for mutations in KRAS, NRAS, PTPN11, BRAF and RAF1 and performed multiplex and long-distance inverse (LDI) PCR to identify BRAF and RAF1 fusion genes. To define the mechanism giving rise to the formation of novel BRAF fusion genes and understand their phenotype, we used microarray-based comparative genomic hybridization (aCGH) and performed in vitro experiments for functional assessment. We characterized fusions targeting RAF kinases in 72% (90/125) of cases. Sequencing confirmed all previously reported variants of KIAA1549-BRAF and yielded novel variants of this fusion gene and of SRGAP3-RAF1 . Mutations in KRAS and BRAF , as well as RAF1 gene fusions were mostly mutually exclusive with BRAF rearrangements. Most importantly, we identified FAM131B as an alternative fusion partner of BRAF , resulting from an interstitial deletion of ˜2.5 Mb at 7q34, in 3 cases. Investigating the functional characteristics of FAM131B-BRAF, we demonstrated constitutive MEK phosphorylation and activation of MAPK downstream effectors. Furthermore, we showed that FAM131B-BRAF is able to transform NIH3T3 cells. Taken together, our findings further stress the role of RAF kinase fusions as a central oncogenic mechanism in the development of PA, and strengthen their potential role as both a tumor-specific marker for molecular diagnosis and an ideally suited target for molecular therapeutic intervention.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.263
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2011
Admission routes1
Has abstractyes

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